David D. Fan

Orcid: 0000-0002-8261-1045

According to our database1, David D. Fan authored at least 26 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Semantic Belief Behavior Graph: Enabling Autonomous Robot Inspection in Unknown Environments.
CoRR, 2024

2023
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge.
CoRR, 2023

A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge.
Field Robotics, March, 2022

Learning Risk-Aware Costmaps for Traversability in Challenging Environments.
IEEE Robotics Autom. Lett., 2022

PrePARE: Predictive Proprioception for Agile Failure Event Detection in Robotic Exploration of Extreme Terrains.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Hybrid Imitative Planning with Geometric and Predictive Costs in Off-road Environments.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Schrödinger Approach to Optimal Control of Large-Size Populations.
IEEE Trans. Autom. Control., 2021

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge.
CoRR, 2021

STEP: Stochastic Traversability Evaluation and Planning for Safe Off-road Navigation.
CoRR, 2021

STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020
Deep Learning Tubes for Tube MPC.
CoRR, 2020

Deep Learning Tubes for Tube MPC.
Proceedings of the Robotics: Science and Systems XVI, 2020

Autonomous Off-Road Navigation over Extreme Terrains with Perceptually-Challenging Conditions.
Proceedings of the Experimental Robotics - The 17th International Symposium, 2020

Autonomous Spot: Long-Range Autonomous Exploration of Extreme Environments with Legged Locomotion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Bayesian Learning-Based Adaptive Control for Safety Critical Systems.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Contact Inertial Odometry: Collisions are your Friend.
CoRR, 2019

Towards Resilient Autonomous Navigation of Drones.
Proceedings of the Robotics Research, 2019

Contact Inertial Odometry: Collisions are your Friends.
Proceedings of the Robotics Research, 2019

Autonomous Hybrid Ground/Aerial Mobility in Unknown Environments.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
MPC-Inspired Neural Network Policies for Sequential Decision Making.
CoRR, 2018

Model-Based Stochastic Search for Large Scale Optimization of Multi-Agent UAV Swarms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

2017
Evolving cost functions for model predictive control of multi-agent UAV combat swarms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Stochastic control of systems with control multiplicative noise using second order FBSDEs.
Proceedings of the 2017 American Control Conference, 2017

2016
Differential Dynamic Programming for time-delayed systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016


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